As a Data Engineer (Snowflake, Azure Data Factory, Python & SQL) , you will make an impact by designing, developing, and supporting scalable cloud-based data solutions that enable data integration, transformation, and analytics across the enterprise. You will be a valued member of the Data Engineering team and work collaboratively with architects, business stakeholders, application teams, and platform engineers to deliver reliable and high-quality data pipelines. Design, develop, and maintain data pipelines using Azure Data Factory (ADF), Snowflake, Python, and SQL.

Build and optimize ELT/ETL processes to support enterprise data warehousing and analytics initiatives. Develop and support Snowflake objects including Tasks, Dynamic Tables, and COPY INTO processes for efficient data ingestion and transformation. Monitor, troubleshoot, and enhance data pipelines to ensure performance, reliability, and data quality.

Collaborate with cross-functional teams to support CI/CD implementation, code deployments, and Agile delivery practices. Based on this role’s business requirements, this is a remote position open to qualified applicants in Ontario and/or Nova Scotia, where our hubs are located. Proven experience as a Data Engineer with strong expertise in Snowflake, Azure Data Factory (ADF), Python, and SQL .

Hands-on experience developing and supporting ADF components including Flow Control Logic, Lookups, Copy Activities, Data Flows, Child Pipeline Execution, Script Activities,



and Batch Service Calls. Advanced SQL skills with experience in data modeling, query optimization, and performance tuning.

Experience with enterprise Data Warehousing, ETL/ELT frameworks, and up-to-date cloud data platforms.

Experience implementing CI/CD practices and deployment processes using Azure DevOps. Strong troubleshooting and problem-solving skills with the ability to resolve complex data pipeline issues.

Experience working in Agile delivery environments.

These will help you stand out: Experience with Databricks, including developing notebooks for change data capture (CDC) processes. Familiarity with Spark and PySpark for large-scale data processing.

Experience working with Azure services such as Event Hub, Event Grid/Event Subscriptions, Azure Functions, and Enterprise Messaging Services (EMS). Knowledge of Python libraries including Pandas, Snowflake Connector, Azure SDK, and Keyring.

Experience supporting cloud migration, data modernization, or large-scale analytics initiatives. We regularly assess market data to ensure we offer a competitive compensation package for our associates. This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as advantages that support your physical, mental and financial wellbeing. This may change based on the project you’re engaged in, as well as business and client requirements.

📌 Data Engineer (Snowflake, Azure Data Factory, Python & SQL) (Mississauga)
🏢 Cognizant
📍 Mississauga